Robotics Engineer, Autonomous Systems
加入一个专注于自主系统的机器人工程师和研发团队。你将设计，集成和验证基于无人机的机器人的系统，帮助从早期原型开始通过现场测试实现安全可靠的交付操作。你会做什么？- 设计和集成机器人机制，传感器，动员，控制器和无人机有效载荷系统。- 开发控制，导航，规划和障碍路径回避解决方案。- 用 ROS 或 ROS 2以及 C++或 Python 编程和测试机器人软件，包括模拟基础验证。- 与无人机系统结合飞行控制器，伴侣计算机，通信链接和远程测量。- 构建，解决故障和独立验证现场机器人系统。- 与机械，电子和软件团队合作开发和部署原型号。我们正在寻找什么 - 至少有2年的机器人，无人机系统或自动驾驶系统实践经验。- 在机器人技术方面拥有强的基础，包括动力学，动态学，控制理论，PID 和系统集成。- 熟练学习 C++或 Python,ROS 或 ROS 2,Linux;熟悉 MATLAB. - 了解 PX4或 ArduPilot,MAVLink,电机，ESCs,GPS 电池和飞行控制器。- 具有 IMU,RTK,LiDAR,融合传感器或 GPS 禁航的经验。- 嵌入式系统经验，包括微控制器，果皮或 Jetson,动机和调试。- 原型制造，模拟，飞行记录分析和现场验证的实践经验；熟悉 CAN,UART 或 I2C. - 有关学位或同等基础，以及实践项目或其他实际建筑经验的证据。计算机视觉，机器学习，SLAM,Gazebo 或 Webots,CAD,BVLOS 和 UTM 体验有帮助。补偿与福利签证赞助不提供。
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ABOUT THE ROLE
Join an engineering and R&D team as a Robotics Engineer focused on autonomous systems. You will design, integrate, and validate drone-based robotic systems, helping enable safe and reliable delivery operations from early prototypes through field testing.
WHAT YOU'LL DO
- Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
- Develop control, navigation, path-planning, and obstacle-avoidance solutions.
- Program and test robotics software with ROS or ROS 2 and C++ or Python, including simulation-based validation.
- Integrate flight controllers, companion computers, communications links, and telemetry with drone systems.
- Build, troubleshoot, and independently validate robotic systems in the field.
- Collaborate with mechanical, electronics, and software teams on prototype development and deployment.
WHAT WE'RE LOOKING FOR
- At least 2 years of hands-on experience in robotics, UAV systems, or autonomous systems.
- Strong foundations in robotics, including kinematics, dynamics, control theory, PID, and system integration.
- Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
- Knowledge of PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
- Experience with IMU, GPS or RTK, LiDAR, sensor fusion, or GPS-denied navigation.
- Embedded systems experience with microcontrollers, Raspberry Pi or Jetson, actuators, and debugging.
- Practical experience in prototyping, simulation, flight-log analysis, and field validation; familiarity with CAN, UART, or I2C.
- A relevant degree or equivalent foundation, plus evidence of hands-on projects or other practical building experience. Computer vision, machine learning, SLAM, Gazebo or Webots, CAD, BVLOS, and UTM experience are helpful.
COMPENSATION & BENEFITS
Visa sponsorship is not available.